Classifications

• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
  • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
  • G06F16/25—Integrating or interfacing systems involving database management systems
  • G06F16/258—Data format conversion from or to a database

Definitions

• the invention relates to a method for converting tree-structured data of any source object model into a freely definable target object model, according to the preamble of patent claim 1.
• the object of the present invention is a rule-controlled one
• the advantage achieved by the invention in the conversion of data is that it is now possible to react quickly and flexibly to changes in the format of the input data, since it is not a fixed program but an adaptable set of rules that is used.
• the input data are advantageously preprocessed by an analysis algorithm and made available in a fixed format in a file.
• the converted data is also made available in a fixed format in a file for post-processing.
• each row tree node is only created if a source tree node can be found that meets certain conditions specified in a generation rule. The source tree node found is then the generating instance for the target tree node.
• the source tree in the environment of the generating instance is searched for instances of a specific object class that are to meet special conditions, and if the search is successful, a new node is created in the target tree, and the source tree instance becomes the associated generating instance of the target tree node.
• the rules for calculating the attributes belonging to the newly created nodes (objects) preferably consist of functions on the basis of which attributes of the new target tree node are calculated from the attributes of various objects in the source tree.
• the permissible object classes, the permissible successors of the individual object classes and the attributes associated with each object class are provided in the rules for the source and target tree (containment).
• Figure 1 embedding the converter in the overall system;
• Figure 2 Structure of the converter FIG. 3 generating instance of a target tree node K;
• FIG. 4 creation of the successor of a target tree node;
• FIG. 5 restriction to subtrees;
• FIG. 6 insert new object class as root;
• FIG. 7 representation of containment by rules;
• FIG. 8 entry points for the instance search;
• Figure 10 instantiate only one or more successors;
• Figure 13 Create the root of the target tree;
• FIG. 14 calculate attributes of a new instance;
• Figure 15 Create successor of a new instance;
• Figure 16 Mark new instance as "old".
• FIG. 2 shows the structure of the converter 1.
• the input data 5 (OMP data) are preprocessed and made available in a fixed format in a file 6 (front end). This
• the task is performed by an analysis algorithm (parser 7) constructed using known tools.
• This frontend can easily be replaced by another module for other requirements.
• the converter 1 in turn generates a file 8 in a defined format, which is then available for postprocessing (backend).
• delta generation 9 The differences to the data generated the day before are also determined here (delta generation 9) and the deviations are sent as CMIS messages (Common Management Information Services Format) to the TMN platform 2, where they are incorporated into the MIB database .
• the backend can also be replaced for other purposes.
• the operation of the converter 1 is derived from the following essential
• the decision as to whether 10 instances (nodes) 11 have to be created in the target tree is based on the evaluation of a relatively limited area of the source tree 12.
• the converter 1 should not contain the "hard-coded" intelligence for generating a target tree 10 from a given source tree 12, but rather determine and apply the appropriate implementation rules for the respective situation at runtime.
• This set of rules is used in the present example in a ASCII file stored and interpreted, other variants, such as storing the rules in a database, are conceivable here.
• the converter For the construction of a target tree 10 from a given source tree 12, the converter requires rules from which it can obtain the following information:
• the source and target data should be in the form of so-called "trees".
• the data structures generally known in computer technology can be used.
• the data structures must be designed in such a way that certain information can be determined at any time (and as efficiently as possible)
• K z the set of all nodes of the target tree (to be created
• K K Q K z the set of all tree nodes
• Pot (M) should denote the associated power set
• Each node in the tree belongs to a specific object class, which determines the function whether] Obj: K ⁇ KL
• Sub determines the subtree Sub for each node in the tree: K ⁇ Pot (K)
• Path determines the path from the root to that node
• Ei determines the generating instance in the source tree for each node of the target tree
• R z R stands for root
• R Q root 19 of the source tree
• Class hierarchy of highest object classes e.g. A and B, the source or
• Target trees are then defined in the set of rules as successors to R Q or R z . This procedure also has the side effect that several, initially independent, source trees can be converted at the same time by combining them into only one source tree 12 by appending R Q 19.
• the containment tree 20 (FIG. 7) for the source and target data is to be described with the aid of the rules of this category. It must be readable:
• the sets of values are: KL Q the set of all object classes 21 of the source tree 12
• KL Z the set of all object classes 21 of the target tree 10
• KL KL Q KL Z the set of all object classes 21 of the set of rules AT Q the set of all attributes 22 of objects 20 of the
• Source tree 12 AT Z the set of all attributes 22 of objects 21 of the
• Target tree 10 AT AT Q AT Z the set of all attributes 22 of objects 21 of the
• the function Nf determines the set of all possible successor classes Nf: KL ⁇ Pot (KL Q ) Pot (KL z )
• Att determines the set of all attributes 22 contained therein
• Generation rules for target tree instances The crucial task in building target tree 10 is to recognize when an instance 1 1 of a target tree object class is to be created. to This problem is solved by the so-called generation rules, of which exactly one must be specified for each object class 21 of the target tree 10. For each potential successor class of a target tree node 1 1, the associated generation rule is then evaluated in the “environment” of the generating instance 13 of the node in the source tree 12 and so on If necessary, new target tree nodes 1 1 are instantiated as successors of the original
• the generation rule itself "searches" the source tree 12 in the environment of the generating instance 13 for instances of a specific object class 21 which are intended to meet special conditions. If the search is successful, a new node 11 in the target tree 10 is created and the source tree instance for the associated generating instance 13 of the target tree node 1 1 Various information in the generation rule is necessary-
• a target tree node 1 1 is only created if a generating instance 13 can be found for it in the source tree using the associated generation rule.
• Figure 1 1 is intended to illustrate the entries in the set of rules required for the introduction of the instance generation rules.
• the set of values is:
• the function Gen determines the corresponding generation rule Gen: KL Z ⁇ ER
• the generation rules can thus be understood as functions that examine a set of nodes of the source tree for a specific target tree object class and possibly one of them as a generating instance for a new instance of the target tree object class under consideration (ie a new target tree node) returns. If no generating instance is found, no target tree node is created.
• each target tree object class it is specified for each target tree object class which further instances of the source tree should “provide” their attributes for calculating their own attribute values.
• These source tree instances are hereinafter referred to as “calculation instances”. Calculation instances are found in a similar way to the generating instances.
• the search rule for a calculation instance contains the following information:
• each search rule is given a name that is unique within the target tree class. If different calculation instances contain attributes of the same name, then an attribute can be uniquely selected using the construct ⁇ calculation instance name>. ⁇ Attribute name>.
• FIG. 12 is again intended to illustrate the entries in the set of rules required for the introduction of the attribute calculation rules. With the introduction of these rules we get a new set of values and another basic function:
• the set of values is:
• Calc determines the associated calculation rule for each attribute within an object class
• the attribute calculation rules can thus be understood as functions that calculate a new value from the attributes of various objects in the source tree, ar e AR ar: Pot (K z x AT Z ) ⁇ VAL
• KL Q the set of all object classes in the source tree
• KL Z the set of all object classes of the target tree
• KL KL Q KL Z the set of all object classes of the set of rules AT Q the set of all attributes of objects in the source tree
• AT AT Q AT Z the set of all attributes of objects of the set of rules
• the function Nf determines the set of all possible successor classes for each object class
• the function Gen determines the corresponding generation rule for each class of the target tree
• Att determines the set of all attributes Att: Pot (KL) ⁇ Pot (AT)
• K Q the set of all nodes in the source tree
• input K z the set of all nodes of the target tree (to be created
• Sub determines the subtree Sub for each node in the tree: K ⁇ Pot (K)
• Path determines the path from the root to that node
• a generation rule searches in a set of source tree nodes for the one who fulfills all the conditions and should thus become the "generating instance" for a new instance of a target tree object class. (If no matching node is found, no instance is created.) He e ER; he: KL Z x Pot (K Q ) ⁇ K Q
• Ei determines the generating instance in the source tree for each node of the target tree
• a calculation rule for attributes determines a new value ar e AR from concrete attribute values in tree nodes; ar: Pot (K x AT) ⁇ VAL
• R z is the root 26 of the target tree 10
• R Q is the root 19 of the source tree 12
• FIG. 14 determine attributes of l z 1 1 by means of Att (l z ) for all ae Att ( l z ) determine the calculation rule ar using Calc (a, l z ) and refer to the attributes of the path to the “generating instance” 13 Path (Ei (l z )) in the source tree 12 and the attributes already calculated in the target tree 10 Path (l z ) apply
• FIG. 15 determine all possible successor classes of l z 1 1 using Nf (Obj (l z )) for all ne Nf (Obj (I z )) using gene (s) determine and apply the generation rule if successful:
• the algorithm is complete when all target tree nodes 1 1, 14, etc.
• the main work of the converter 1 is completed.
• the created target tree 10 is still to be made available in a suitable manner to the back end of the converter for further processing.
• MIB Management Information Base

Landscapes

• Engineering & Computer Science (AREA)
• Databases & Information Systems (AREA)
• Theoretical Computer Science (AREA)
• Data Mining & Analysis (AREA)
• Physics & Mathematics (AREA)
• General Engineering & Computer Science (AREA)
• General Physics & Mathematics (AREA)
• Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
• Document Processing Apparatus (AREA)
• Stored Programmes (AREA)

Priority Applications (3)

Applications Claiming Priority (2)

Publications (2)

Family

ID=7865210

Family Applications (1)

Country Status (6)

Citations (2)

Family Cites Families (3)

• 1998
  • 1998-04-21 DE DE19817617A patent/DE19817617C1/de not_active Expired - Fee Related
• 1999
  • 1999-04-21 AT AT99927705T patent/ATE371987T1/de active
  • 1999-04-21 WO PCT/DE1999/001208 patent/WO1999055004A2/de active IP Right Grant
  • 1999-04-21 CZ CZ20003910A patent/CZ298561B6/cs not_active IP Right Cessation
  • 1999-04-21 EP EP99927705A patent/EP1074090B1/de not_active Expired - Lifetime
  • 1999-04-21 PL PL99344110A patent/PL195683B1/pl unknown
  • 1999-04-21 DE DE59914481T patent/DE59914481D1/de not_active Expired - Lifetime

Patent Citations (2)

Non-Patent Citations (1)

Also Published As

Similar Documents

Legal Events